Instructions to use guillermoruiz/bilma_CL with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use guillermoruiz/bilma_CL with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import TFAutoModel model = TFAutoModel.from_pretrained("guillermoruiz/bilma_CL", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download config.json from guillermoruiz/bilma_CL: direct link, hf CLI and curl.
- Browser
- Download file 417 Bytes
-
https://huggingface.co/guillermoruiz/bilma_CL/resolve/main/config.json
- Command line
-
hf download hf://guillermoruiz/bilma_CL/config.json
-
curl -L -o config.json https://huggingface.co/guillermoruiz/bilma_CL/resolve/main/config.json
417 Bytes
| { | |
| "add_head": null, | |
| "auto_map": { | |
| "AutoConfig": "configuration_bilma.BilmaConfig", | |
| "TFAutoModel": "modeling_bilma.TFBilma" | |
| }, | |
| "hidden_dropout_prob": 0.1, | |
| "hidden_size": 512, | |
| "include_top": true, | |
| "model_type": "bilma", | |
| "num_attention_heads": 4, | |
| "num_hidden_layers": 2, | |
| "pooling": null, | |
| "seq_max_length": 280, | |
| "transformers_version": "4.30.2", | |
| "vocab_size": 29025, | |
| "weights": "CL" | |
| } | |